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BCAM Receives Two Awards at the SEIO – BBVA Foundation Awards 2025 Ceremony

Yesterday, February 26, BCAM received two awards recognizing the pioneering nature of its research in two key areas: Best Methodological Contribution in Operations Research; and Best Contribution in Statistics and Operations Research Applied to Data Science and Big Data. María Merino Maestre…

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DSABNS 2026 reinforces its international leadership in dynamical systems applied to biology and natural sciences

  • Granada hosted the 17th edition of a well-established international scientific conference founded in 2010, 

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BCAM and the Department of Electronic Engineering of Tsinghua University (Beijing, China) renew their collaboration agreement in Data Science and Artificial Intelligence

  • The renewal reaffirms both institutions’ commitment to fostering the exchange of undergraduate, graduate, and junior/senior researchers, developing joint research and educational

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BCAM Naukas Pi Day returns with its seventh edition

  • BCAM, the Naukas science communication platform, and the Chair of Scientific Culture at the University of the Basque Country are joining forces once again to celebrate the seventh edit

Latest publications

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An optimal fractional Hardy inequality on the discrete half-line

Das, U.; de la Fuente-Fernández, R. (2026-01-12)

In the context of Hardy inequalities for the fractional Laplacian $(-\Delta_{\mathbb{N}})^{\sigma}$ on the discrete half-line $\mathbb{N}$, we provide an optimal Hardy-weight $W^{\mathrm{op}}_{\sigma}$ for exponents $\sigma\...

A Novel Multi-Resolution Heart Rate Variability Analysis for IoT-based Drowsiness Detection: Preserving Temporal Trends in Features Series

Hafidi, H.E.; De Giovanni, E.; Montanaro, T.; Sergi, I.; De Vittorio, M.; Patrono, L. (2025-07-30)

Heart rate variability (HRV) analysis provides valuable insights into autonomic nervous system regulation and serves as an effective indicator for drowsiness detection in transportation safety applications. This study presen...

Human-Centered and Context-Aware Smart ML-based IoT Framework for Online Fatigue Detection: a Real-World Study of Football Training

Mamen, A.; De Giovanni, E.; Montanaro, T.; Sergi, I.; Patrono, L. (2025-12-08)

Fatigue is one of the factors that most influences competitive athletes’ performance, leading to injuries and overtraining. To effectively monitor and predict fatigue levels during real-world training, it is necessary to int...

Variational Autoencoder-Based Alert System for Onshore Wind Turbine: Application to a Real Case Study

Zamora-Sánchez, D.; Fernandez-Navamuel, A.; Pardo, D.; Magalhães, F.; Pereira, S. (2025-10-01)

Structural Health Monitoring (SHM) of wind turbines is still far from a practical and effective implementation. One of the main limitations is the access to long-term experimental data from operative systems, as well as the ...